Concepedia

Machine Learning-based Void Filling

Machine Learning-Based Void Filling is a computational approach within the broader category of void filling methods that specifically employs machine learning models to predict and reconstruct missing or incomplete data by learning patterns and relationships from observed data.

10

Publications

404

Citations

36

Authors

21

Institutions

Publications per year

2017–2026

9

Parents

Publications

10

Integrating topographic knowledge into deep learning for the void-filling of digital elevation models

Sijin Li, Guanghui Hu, Xinghua Cheng et al. · Remote Sensing of Environment · 2021 · 82 citations

, , +16

Continuous Eulerian tool path strategies for wire-arc additive manufacturing of rib-web structures with machine-learning-based adaptive void filling

Lam M. Nguyen, Johannes Buhl, Markus Bambach� · Additive manufacturing · 2020 · 79 citations

, , +17

Void closure prediction in cold rolling using finite element analysis and neural network

J. Chen, K. Chandrashekhara, C. Mahimkar et al. · Journal of Materials Processing Technology · 2010 · 48 citations

, , +15

Percussion-based quasi real-time void detection for concrete-filled steel tubular structures using dense learned features

Dongdong Chen, Zhouhui Shen, Linsheng Huo et al. · Engineering Structures · 2022 · 48 citations

, , +14

Automatic void content assessment of composite laminates using a machine-learning approach

João Machado, João Manuel R. S. Tavares, P.P. Camanho et al. · Composite Structures · 2022 · 36 citations · Full text

, , +16

1–5 of 10

Authors

36

  1. ZS
    Zhouhui Shen

    Nanjing Forestry University, China

    2 publications · 69 citations

    2

    h-index

  2. DC
    Dongdong Chen

    Nanjing Forestry University, China

    2 publications · 69 citations

    2

    h-index

  3. JS
    Josef Strobl

    University of Salzburg, Austria

    1 publications · 82 citations

    1

    h-index

  4. JM
    João Machado

    Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial

    1 publications · 36 citations

    1

    h-index

  5. LH
    Linsheng Huo

    Dalian University of Technology, China

    1 publications · 48 citations

    1

    h-index

1–5 of 36

Institutions

21

  1. Nanjing Forestry University

    Nanjing, China

    2 h-index

    5 publications

    159 citations

  2. ETH Zurich

    Zurich, Switzerland

    1 h-index

    1 publications

    79 citations

  3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application

    Nanjing, China

    1 h-index

    4 publications

    328 citations

  4. China University of Petroleum, East China

    Qingdao, China

    1 h-index

    3 publications

    54 citations

  5. Missouri University of Science and Technology

    Rolla, United States

    1 h-index

    5 publications

    240 citations

  6. Budapest University of Technology and Economics

    Budapest, Hungary

    1 h-index

    2 publications

    60 citations

  7. Nanjing Normal University

    Nanjing, China

    1 h-index

    5 publications

    410 citations

  8. Zhejiang University

    Hangzhou, China

    1 h-index

    1 publications

    48 citations

1–8 of 21

Venues

  1. Construction and Building Materials

    1 publications · 21 citations

    1

    h-index

  2. Remote Sensing of Environment

    1 publications · 82 citations

    1

    h-index

  3. Engineering Structures

    1 publications · 48 citations

    1

    h-index

  4. ISPRS International Journal of Geo-Information

    IJGI · 1 publications · 15 citations

    1

    h-index

  5. Case Studies in Construction Materials

    1 publications · 27 citations

    1

    h-index

1–5